Traditional techniques applied in the analysis of human-centered systems fail to recognize the human- and system-based uncertainties due to imprecision and vagueness of human thinking. A new methodology is needed to cope with ill-defined relationships between people, their machines and environments. The purpose of this paper is to introduce the concept of fuzziness, and to identify the potential applications of fuzzy set theory in the area of human factors. Examples of recent and ongoing studies on the relevant application of fuzzy sets in this area are also given.
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References
1.
BensonW. H. An application of fuzzy set theory to data display. In: DuboisO.PradeH.Fuzzy Sets and Systems: Theory and Applications, New York, Academic Press, 1980.
2.
DuboisD.PradeH.Fuzzy Sets and Systems. Theory and Applications.New York: Academic Press, 1980.
3.
HuntR. M.RouseW. B.A fuzzy rule-based model of human problem solving. IEEE Transactions on Systems, Man and Cybernetics, SMC-14, 112–120, 1984.
4.
KarwowskiW.A pilot study on the interaction between physiological, biomechanical and the psychophysical stresses involved in manual lifting tasks. In: CoombesK. (ed.), Proceedings of the Ergonomics Society's Conference, London and New York, Taylor and Francis, 1983.
5.
KarwowskiW.AyoubM. M.Fuzzy modelling of stresses in manual lifting tasks. Ergonomics, (in press), 1984.
6.
KarwowskiW.MitalA.Risk assessment: A new approach based on fuzzy sets. Technical Report, Dept. of Ind. Eng., University of Louisville, Louisville, 1984.
7.
MitalA.UlgenO. M.Mental stress quantification and identification decisions modeling. In: Proceedings of the Human Factors Society - 26th Annual Meeting, 474–478, 1982.
8.
MitalA.KarwowskiW.Towards the development of human work performance standards in futuristic man-machine systems: A fuzzy modeling approach. Technical Report, Dept, of Mech. and Ind. Eng., University of Cincinnati, Cincinnati, Ohio, 1984.
9.
WillaeysD.MalvacheN.Contribution of fuzzy sets theory to man-machine systems. In: Advances on Fuzzy Sets Theory and Applications, GuptaM. M.RagadeR. K.YagerY. Y. (eds.), Amsterdam, North Holland, 1979.
10.
ZadehL. A.Fuzzy sets. Information and Control, 8, 338–353, 1965.
11.
ZadehL. A.Outline of a new approach to the analysis of complex systems and decision processes. IEEE Transactions on Systems, Man, and Cybernetics, SMC-3, 28–44, 1973.
12.
ZadehL. A., The concept of linguistic variable and its application to approximate reasoning. Information Sciences, part I: 8, 199–249, 1975, part II: 8, 301–357, 1975, part III: 9, 43–80, 1975.
